Efficient data storage: adaptively changing chunk size in cloud computing storage systems

被引：0

作者：

Baya, Chalabi ^{[1
]}

Yahya, Slimani ^{[2
]}

机构：

[1] Ecole Natl Super Informat ESI, Lab Commun Syst Informat, 68M Oued Smar, Algiers 16270, Algeria

[2] Univ Manouba, ISAMM, Manouba, Tunisia

来源：

INTERNATIONAL JOURNAL OF GRID AND UTILITY COMPUTING | 2023年 / 14卷 / 05期

关键词：

cloud computing; data striping; data management system; data storage; BlobSeer; chunk size; Hadoop; big data; scalability; concurrent access;

D O I：

10.1504/IJGUC.2023.133455

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cloud computing enables users to utilise a shared pool of resources on demand. BLOB storage is a type of cloud storage for unstructured data. Most data management systems use chunk sizes equal to a given BLOB. Despite the simplicity of this strategy, as the nodes in the system are heterogeneous, the BLOB sizes are different and access to the data is not consistent due to these issues. We propose an adaptive strategy in order to define an adequate chunk size by taking into account metrics concerning the actual resources (bandwidth, storage usage), the size of the BLOB/file and the access rate of the chunks. Our experimental results show that our proposed approach provides an execution time that is about 24% better than that of a method based only on one chunk size and about 96% better than that of a method based on a random choice of the chunk size.

引用

页码：516 / 525

页数：11

共 50 条

[31] A Framework to Ensure Data Storage Security in Cloud Computing
Sarkar, Mrinal Kanti
Kumar, Sanjay
2016 IEEE 7TH ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS MOBILE COMMUNICATION CONFERENCE (UEMCON), 2016,
[32] Study on Strategy of Cloud Computing Data Storage Security
Liu, Sha
Zhu, Shuhua
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING AND INFORMATION TECHNOLOGY APPLICATIONS, 2015, 28 : 64 - 67
[33] A Framework for Secure Data Storage in Mobile Cloud Computing
Thumar, Vinodray
Vekariya, Vipul
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ICT FOR SUSTAINABLE DEVELOPMENT ICT4SD 2015, VOL 2, 2016, 409 : 791 - 800
[34] Enabling Public Auditability and Data Dynamics for Storage Security in Cloud Computing
Wang, Qian
Wang, Cong
Ren, Kui
Lou, Wenjing
Li, Jin
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2011, 22 (05) : 847 - 859
[35] Mass Data Storage System for Campus Network Based on Cloud Computing
Gao Xincheng
Li Chunsheng
PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI, 2012, : 226 - 230
[36] An IoT-Oriented Data Storage Framework in Cloud Computing Platform
Jiang, Lihong
Xu, Li Da
Cai, Hongming
Jiang, Zuhai
Bu, Fenglin
Xu, Boyi
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (02) : 1443 - 1451
[37] Security-Aware Efficient Mass Distributed Storage Approach for Cloud Systems in Big Data
Gai, Keke
Qiu, Meikang
Zhao, Hui
2016 IEEE 2ND INTERNATIONAL CONFERENCE ON BIG DATA SECURITY ON CLOUD (BIGDATASECURITY), IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE AND SMART COMPUTING (HPSC), AND IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA AND SECURITY (IDS), 2016, : 140 - 145
[38] An Efficient Protocol With Bidirectional Verification for Storage Security in Cloud Computing
Feng, Bin
Ma, Xinzhu
Guo, Cheng
Shi, Hui
Fu, Zhangjie
Qiu, Tie
IEEE ACCESS, 2016, 4 : 7899 - 7911
[39] A Power Efficient Persistent Storage Consolidation Algorithm for Cloud Computing
Galloway, Jeffrey M.
Vrbsky, Susan V.
2012 INTERNATIONAL GREEN COMPUTING CONFERENCE (IGCC), 2012,
[40] Energy efficient Data Center in Cloud Computing
Yadav, Vikram
Malik, Pooja
Kumar, Adarsh
Sahoo, G.
2015 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING IN EMERGING MARKETS (CCEM), 2016, : 59 - 66

← 1 2 3 4 5 →